1 code implementation • 24 Jun 2019 • Johanna Rock, Mate Toth, Elmar Messner, Paul Meissner, Franz Pernkopf
Driver assistance systems as well as autonomous cars have to rely on sensors to perceive their environment.
no code implementations • 25 Nov 2020 • Johanna Rock, Wolfgang Roth, Paul Meissner, Franz Pernkopf
Radar sensors are crucial for environment perception of driver assistance systems as well as autonomous vehicles.
no code implementations • 4 Dec 2020 • Johanna Rock, Mate Toth, Paul Meissner, Franz Pernkopf
We combine real measurements with simulated interference in order to create input-output data suitable for training the model.
no code implementations • 29 Apr 2021 • Alexander Fuchs, Johanna Rock, Mate Toth, Paul Meissner, Franz Pernkopf
Our experiments show, that the use of CVCNNs increases data efficiency, speeds up network training and substantially improves the conservation of phase information during interference removal.
no code implementations • 11 Nov 2021 • Johanna Rock, Tiago Azevedo, René de Jong, Daniel Ruiz-Muñoz, Partha Maji
Deep neural networks have shown great success in prediction quality while reliable and robust uncertainty estimation remains a challenge.
no code implementations • 25 Jan 2022 • Johanna Rock, Wolfgang Roth, Mate Toth, Paul Meissner, Franz Pernkopf
We analyze the quantization of (i) weights and (ii) activations of different CNN-based model architectures.